nycfoodie

endpoint

https://nycfoodie-production.up.railway.app/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is nycfoodie live?

Yes — it answered the hub's last check (checked 20m ago). It answered 100% of checks over the last 30 days.

Is nycfoodie free to use?

Yes — the hub reached it with no key and no payment.

What tools does nycfoodie have?

8 tools: submit_feedback, guide_consensus, compare_restaurants, get_restaurant, find_similar, search_restaurants, find_guides, top_rated.

Is nycfoodie safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• submit_feedback changes data unknown never probed

  Record feedback on a tool result: a 1–5 rating, a comment, or both (at least one is required). Use after showing the user a recommendation to log what was good or wrong. Each call stores a new feedback entry; it changes nothing the user sees.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "properties": {
      "tool": {
        "type": "string",
        "description": "Which tool the feedback is about, e.g. 'search_restaurants'"
      },
      "rating": {
        "type": "integer",
        "maximum": 5,
        "minimum": 1,
        "description": "1 (poor) to 5 (excellent)"
      },
      "comment": {
        "type": "string",
        "description": "What was good or wrong"
      }
    }
  }

  arguments 20 lines copy
• guide_consensus reads unknown 16h ago

  Rank restaurants by how many distinct guides feature them, optionally filtered by theme. Use for 'where can't I go wrong' or safest-bet picks. Differs from find_guides: this returns ranked restaurants, not the guides themselves. Each row carries guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Max results (default 10)"
      },
      "theme": {
        "type": "string",
        "description": "Guide theme, e.g. 'ramen', 'brunch'"
      }
    }
  }

  arguments 23 lines copy
• compare_restaurants reads unknown 4h ago

  Compare 2–5 named restaurants head-to-head as structured data (rating, price, tags, review summary). Use when the user asks to choose between specific places, e.g. 'should I go to X or Y?' or to compare four options on a budget.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "ids": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 5,
        "minItems": 2,
        "description": "Alias for restaurants"
      },
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "restaurants": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "maxItems": 5,
        "minItems": 2,
        "description": "Restaurant ids or names to compare"
      }
    }
  }

  arguments 31 lines copy
• get_restaurant reads unknown 16h ago

  Get the full picture for one restaurant in one call: Infatuation rating (0–10), price tier, address, reservation link, booking intel, review summary, tags and every guide it appears in. Use when the user names a specific restaurant. editorial_blurbs carries verbatim Eater guide excerpts (guide title, URL, position, blurb, captured_at) for any venue with Eater guide entries — Eater-only venues have no rating or price, only this prose plus tags. Full review prose is opt-in via include_prose (default: headline and summary only). review.headline is the source's actual headline when one exists, otherwise null — use review.summary for the descriptive text. match_type is 'exact' when the id or name matched verbatim, 'fuzzy' when it was resolved from a partial/typo'd name — never present a fuzzy match as the venue the user named without saying so. booking is null when the source has no booking intel (not the same as walk-in-only); a reservation link alone never implies a booking policy. data_as_of is the dataset vintage and crawled_at is when this venue was last crawled — caveat fast-decaying claims (closures especially) when these are old.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "Canonical restaurant id, or a name to resolve"
      },
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "name": {
        "type": "string",
        "description": "Alias for id: the restaurant's exact name"
      },
      "include_prose": {
        "type": "boolean",
        "description": "Include the full review text (default false: headline + summary only)"
      }
    }
  }

  arguments 25 lines copy
• find_similar reads unknown 21h ago

  Find restaurants similar to a named one, scored by shared cuisine, occasion and neighbourhood tags, price-tier proximity and guide co-occurrence. Use for 'like X' or 'alternatives to X' requests.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "id": {
        "type": "string",
        "description": "Canonical restaurant id, or a name to resolve"
      },
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "name": {
        "type": "string",
        "description": "Alias for id: the restaurant's exact name"
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Max results (default 10)"
      }
    }
  }

  arguments 27 lines copy
• search_restaurants reads unknown 16h ago

  Search restaurants by free text, cuisine, neighbourhood, occasion or price, optionally near a point. Use when the user describes what they want (e.g. 'Italian date night in the West Village', 'ramen near me') rather than naming a specific restaurant. Free text matches names, tags, review prose and guide blurbs (e.g. 'cacio e pepe'). Returns compact matches with Infatuation rating (0–10), price tier, address_line and tags. Cards carry guide_appearance_count (a number); get_restaurant's guide_appearances is the full entry list. Known-closed venues are excluded by default. Coverage for city='new-york' is the five boroughs plus the immediate metro (within 30 km of Manhattan). With no query or filters, returns the highest-rated venues.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "lat": {
        "type": "number",
        "description": "Latitude for proximity search. Must be given together with lng; radius_km defaults to 5 km when omitted. A location outside the NYC coverage area is rejected with an error."
      },
      "lng": {
        "type": "number",
        "description": "Longitude for proximity search. Must be given together with lat; radius_km defaults to 5 km when omitted."
      },
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "sort": {
        "enum": [
          "rating",
          "guides"
        ],
        "type": "string",
        "description": "Sort by rating (default) or guide appearances"
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Max results (default 10)"
      },
      "query": {
        "type": "string",
        "description": "Free text, e.g. 'date-night Italian'"
      },
      "cuisine": {
        "type": "string",
        "description": "e.g. 'Italian', 'ramen'"
      },
      "occasion": {
        "type": "string",
        "description": "Occasion tag. Allowed: 'Date Nights', 'Happy Hours', 'Pre-Theater', 'See & Be Seen', 'Serious Takeout Operation', 'Unique Dining Experiences', 'Wasting Your Time & Money'. Hyphens, spaces and underscores are flexible ('date-night' works); unambiguous prefixes resolve to the full value. Unknown or ambiguous values are rejected with an error."
      },
      "radius_km": {
        "type": "number",
        "description": "Search radius in kilometres (default 5 when lat/lng are given without it). Requires lat and lng.",
        "exclusiveMinimum": 0
      },
      "min_rating": {
        "type": "number",
        "maximum": 10,
        "minimum": 0,
        "description": "Minimum Infatuation rating"
      },
      "price_tier": {
        "type": "integer",
        "maximum": 4,
        "minimum": 1,
        "description": "1 ($) to 4 ($$$$)"
      },
      "neighborhood": {
        "type": "string",
        "description": "e.g. 'West Village', or a borough like 'Brooklyn'"
      },
      "include_closed": {
        "type": "boolean",
        "description": "Include known-closed venues (default false)"
      }
    }
  }

  arguments 72 lines copy
• find_guides reads unknown 4h ago

  Find curated editorial guides (ranked lists) matching a theme, e.g. 'best ramen'. Returns each guide with its ranked entries, blurbs and linked restaurants. Use when the user wants the editorial lists themselves rather than individual restaurant picks. Set include_entries=false to list guide titles and metadata without pulling every entry blurb.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Max results (default 10)"
      },
      "query": {
        "type": "string",
        "description": "Theme, e.g. 'best ramen', 'date night'"
      },
      "include_entries": {
        "type": "boolean",
        "description": "Set false to return guide metadata without the ranked entry blurbs (default true)"
      }
    }
  }

  arguments 27 lines copy
• top_rated reads unknown 4h ago

  List the highest-rated restaurants (Infatuation 0–10 scale), with optional cuisine, neighbourhood and price filters. Use for 'best in the city' requests. Differs from search_restaurants: no free-text query, strictly rating-ordered.

  mcp-tool

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  {
    "type": "object",
    "$schema": "http://json-schema.org/draft-07/schema#",
    "required": [
      "city"
    ],
    "properties": {
      "lat": {
        "type": "number",
        "description": "Latitude for proximity search. Must be given together with lng; radius_km defaults to 5 km when omitted. A location outside the NYC coverage area is rejected with an error."
      },
      "lng": {
        "type": "number",
        "description": "Longitude for proximity search. Must be given together with lat; radius_km defaults to 5 km when omitted."
      },
      "city": {
        "type": "string",
        "description": "City slug, always required. Currently 'new-york', covering the five boroughs plus the immediate metro (within 30 km of Manhattan)."
      },
      "limit": {
        "type": "integer",
        "maximum": 50,
        "minimum": 1,
        "description": "Max results (default 10)"
      },
      "cuisine": {
        "type": "string",
        "description": "e.g. 'Italian', 'ramen'"
      },
      "occasion": {
        "type": "string",
        "description": "Occasion tag. Allowed: 'Date Nights', 'Happy Hours', 'Pre-Theater', 'See & Be Seen', 'Serious Takeout Operation', 'Unique Dining Experiences', 'Wasting Your Time & Money'. Hyphens, spaces and underscores are flexible ('date-night' works); unambiguous prefixes resolve to the full value. Unknown or ambiguous values are rejected with an error."
      },
      "radius_km": {
        "type": "number",
        "description": "Search radius in kilometres (default 5 when lat/lng are given without it). Requires lat and lng.",
        "exclusiveMinimum": 0
      },
      "min_rating": {
        "type": "number",
        "maximum": 10,
        "minimum": 0,
        "description": "Minimum Infatuation rating"
      },
      "price_tier": {
        "type": "integer",
        "maximum": 4,
        "minimum": 1,
        "description": "1 ($) to 4 ($$$$)"
      },
      "neighborhood": {
        "type": "string",
        "description": "e.g. 'West Village', or a borough like 'Brooklyn'"
      },
      "include_closed": {
        "type": "boolean",
        "description": "Include known-closed venues (default false)"
      }
    }
  }

  arguments 60 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.